How to Scale Training Data
▻https://hackernoon.com/how-to-scale-training-data-9d75e110048f?source=rss----3a8144eabfe3---4
A Guide to #outsourcing Without Compromising Data QualityIn order for data science teams to outsource annotation to a managed workforce provider — also known as a Business Process Outsourcer (BPO) — they must first have the tools and infrastructure to store and manage their training data. Data management tools and infrastructure should support R&D product management teams, outsourced labeling teams, and internal labeling and review teams working together in a single centralized place with fully transparent oversight.Scaling with Subject Matter ExpertiseThere is a direct relationship between the volume of your training data and the size of your annotation team. The alternative to scaling your annotation workforce through outsourcing is hiring an internal team of labelers. While this is an (...)
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